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On Estimating Missing Values in Linear Discriminant Analysis – Part I
Author(s) -
Hufnagel G.
Publication year - 1988
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710300112
Subject(s) - linear discriminant analysis , missing data , multivariate statistics , optimal discriminant analysis , statistics , discriminant , mathematics , multivariate analysis , multiple discriminant analysis , computer science , artificial intelligence
The application of discriminant analysis like other multivariate procedures is essentially complicated with incomplete data. Therefore several methods for handling missing observations occuring in initial samples were compared with each other. Recommendations are given for selecting a suitable method depending on underlying parameters.